Revant Gupta
Machine Learning Scientist at Relation
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRevant Gupta is a Machine Learning Scientist with nine years of experience applying computational genomics, bioinformatics, and deep learning to decode regulatory architectures from high-dimensional single-cell multi-omics. He has led cross-functional efforts at Stanford Medicine and contributed tools like Cytopath for simulating single-cell RNA trajectories while translating research into industry applications at Scailyte and Relation. His work spans in-silico design of regulatory sequences, modeling gene regulatory dynamics from perturbations, and benchmarking ML models for single-cell simulations, with applications in immune engineering and cellular reprogramming. Trained across leading European institutions and holding a PhD in Computer Science from the University of Tübingen, he brings a rare blend of wet-lab-informed molecular knowledge and rigorous ML engineering. Notably, he builds simulation-first tools that help bridge experimental design and therapeutic discovery, accelerating how we test hypotheses in silico before moving to the bench.
9 years of coding experience
2 years of employment as a software developer
Master of Science Molecular Techniques in Life Science, Master of Science Molecular Techniques in Life Science at Karolinska InstitutetBITS Pilani, Birla Institute of Technology and ScienceDoctor rerum naturalium (PhD) Computer Science, Doctor rerum naturalium (PhD) Computer Science at University of TübingenMaster of Science Molecular Techniques in Life Science, Master of Science Molecular Techniques in Life Science at KTH Royal Institute of TechnologyMaster of Science Molecular Techniques in Life Science, Master of Science Molecular Techniques in Life Science at Stockholm University
German, Hindi, English
Github Skills (11)
rna-velocity10
velocity9
simulation8
differentiation8
markov-chain7
hidden-markov-model7
inference6
seq4
rna-seq3
bioinformatics3
sequential3
Programming languages (4)
Github contributions (5)
aron0093/cytopath
Apr 2020 - Dec 2022
Simulation based inference of differentiation trajectories from RNA velocity fields.
Contributions:7 releases, 135 commits, 15 PRs in 2 years 8 months
trajectory-inferencerna-velocitydifferentiationinferencesimulation
aron0093/ANN_weather_prediction
Jul 2018 - Apr 2024
Contributions:4 pushes, 1 branch in 5 years 9 months
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